Fast perceptual image hash based on cascade algorithm

Alexey Ruchay; Vitaly Kober; Evgeniya Yavtushenko

doi:10.1117/12.2272716

19 September 2017 Fast perceptual image hash based on cascade algorithm

Alexey Ruchay, Vitaly Kober, Evgeniya Yavtushenko

Author Affiliations +

Proceedings Volume 10396, Applications of Digital Image Processing XL; 1039625 (2017) https://doi.org/10.1117/12.2272716
Event: SPIE Optical Engineering + Applications, 2017, San Diego, California, United States

Abstract

In this paper, we propose a perceptual image hash algorithm based on cascade algorithm, which can be applied in image authentication, retrieval, and indexing. Image perceptual hash uses for image retrieval in sense of human perception against distortions caused by compression, noise, common signal processing and geometrical modifications. The main disadvantage of perceptual hash is high time expenses. In the proposed cascade algorithm of image retrieval initializes with short hashes, and then a full hash is applied to the processed results. Computer simulation results show that the proposed hash algorithm yields a good performance in terms of robustness, discriminability, and time expenses.

Citation Download Citation

Alexey Ruchay, Vitaly Kober, and Evgeniya Yavtushenko "Fast perceptual image hash based on cascade algorithm", Proc. SPIE 10396, Applications of Digital Image Processing XL, 1039625 (19 September 2017); https://doi.org/10.1117/12.2272716

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